Hannah Gaudet is a data engineering manager with 11 years of experience pivoting from front-end development to data science and machine learning engineering, now leading data engineering for Harvard VPAL. She has a track record of turning sports and analytics problems into production ML systems—working across the Philadelphia Phillies, Boston Bruins, and analytics startups—then scaling teams and platforms at Zelus Analytics. Comfortable from API-level engineering to statistical modeling, she pairs an MIT mathematics background with hands-on product instincts and a knack for making complex metrics actionable. Based in Somerville, MA, she’s as likely to prototype a visualization as she is to design a robust data pipeline, and she brings a playful, people-first management style (also succinctly summarized on GitHub as "yeehaw").
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Massachusetts Institute of Technology
Mobile and Web Application Development, 4.353 GPA, Mobile and Web Application Development, 4.353 GPA at Thomas Jefferson High School for Science and Technology
Contributions:3 PRs, 17 pushes, 5 branches in 2 months
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